Dylan Hoback
Accu-Tube
My Praxie analytics software transformed our operations, enabling data-driven decisions and streamlining our manufacturing process.
Production schedules that adapt as fast as your operation.
Replace spreadsheets, manual updates, and rigid planning tools with AI that helps your team plan capacity, optimize flow, respond to disruptions, and improve throughput in real time.
$0
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A superfast way to see how AI scheduling could work for your operation.
Customer Success Stories
Dylan Hoback
Accu-Tube
Jason Carpenter
Environmental Pest Management
With Praxie, I found a way to take what was in documents and spreadsheets and provide my team with a visual application environment to drive our strategy with full accountability.
Elizabeth Pridham
Perfection Fresh
Praxie dramatically improved our process through digital transformation. We now have visibility and can drive decisions at a fraction of the time.
Scott Russell
NUCOR Vulcraft
I would heartily recommend the Praxie team to any organization seeking to seriously undertake a lasting and successful innovation process.
Mike Bainbridge
Dover Food Retail
Our MFG Ops application greatly improved our daily management initiatives. It is easy to see how we are doing, identify issues, and track improvements—no matter where we sit.
Jeff Piotrowicz
ChemLink
With Praxie we've created a way to report on complex projects that gives management full visibility. Executives have visibility to projects, assignments, and more at their fingertips.
Maureen Thompson
American Nurses Association
Our Praxie App makes it easy to track progress on strategic objectives across the organization and includes an executive-level dashboard with real-time reports to the board on key initiatives.
Tom Anderson
Springfield Armory
Praxie is used every day to track and analyze every aspect of production, quality, safety, and more. We improved quality by 10%.
Peggie Pelosi
Innovators Alliance
Almost overnight, Praxie created a customized solution for our 100 member organizations across Canada to drive strategy and innovation.
Kate Merton
Anthem
Praxie's innovation solution stood out from other options because it can be customized so quickly to fit our exact process requirements. Plus, it is incredibly easy to use and manage.
Giuseppe La Casa
Atlas Copco
Scheduling used to take days; now it’s done in minutes. Praxie AI completely transformed how we do scheduling.
Production Scheduling is Complex - AI Can Help
Stop wasting time with spreadsheets or hard-coded, rigid software. Praxie’s AI-powered production scheduling aligns resources, timelines, and priorities in one secure, shared workspace. With real-time scheduling, live shop-floor data, and AI-driven recommendations, teams can adapt instantly to change, reduce downtime, and improve throughput.
Customer Demand & Orders
Due Dates & Priorities
Machine Capacity
Labor Availability & Skills
Material Availability
Tooling & Changeovers
Maintenance & Downtime
AI Scheduling
Engine
Routing & Work Centers
Inventory & WIP
Batch Sizes / Lot Constraints
Supplier Lead Times
Quality, Yield & Rework
Shift Calendars
Expedites / Last-Minute Changes
AI-Powered Production Scheduling: Jobs to Be Done
Instead of a feature dump, Praxie organizes scheduling capabilities around the real work planners, supervisors, and operations leaders need to accomplish every day.
1
Plan the schedule
Bring demand, capacity, labor, materials, and tooling constraints into one planning view before commitments are made.
- Demand forecasting and order ingestion
- Capacity planning by machine, line, and shift
- Labor, material, and tooling constraints
- ERP, MES, and planning-system integrations
Outcome: planners start with a feasible, constraint-aware schedule.
2
Optimize sequences
Use AI to evaluate tradeoffs, sequence work intelligently, and reduce avoidable delays caused by poor order flow.
- Automated scheduling and sequencing
- Changeover reduction and setup logic
- Line balancing and resource utilization
- What-if scenarios before schedule changes
Outcome: teams run a smarter plan with less wasted time and capacity.
3
React to disruptions
Detect problems early, understand the impact, and replan quickly when downtime, shortages, rush orders, or quality issues occur.
- Dynamic rescheduling and auto-replanning
- Bottleneck alerts and constraint monitoring
- Production monitoring with live shop-floor data
- Dashboards, alerts, and recommendations
Outcome: operations responds before small disruptions become missed commitments.
4
Improve every cycle
Turn production history, timing data, observations, and AI suggestions into repeatable improvement actions.
- Step timing analysis and performance trends
- Operator observations and notes
- AI summaries, suggestions, and projects
- Continuous improvement tracking
Outcome: every schedule cycle becomes a learning loop for better performance.
1
Plan with real constraints
2
Optimize sequences
3
React in real time
4
Improve the next cycle
Less Time
Scheduling
Scheduling
Higher Schedule
Accuracy
Accuracy
Better Resource
Utilization
Utilization
Improved
On-Time Delivery
On-Time Delivery
ROI of Moving from Excel-Based Scheduling to AI-Powered Scheduling
A simplified view of how manufacturers move from manual, spreadsheet-based scheduling to connected AI scheduling that reduces effort, improves plan quality, and responds faster to change.
1
Traditional Excel Scheduling
Manual spreadsheetsVersion chaos, slow updates, and fragile handoffs.
Reactive replanningDisruptions create fire drills and constant rescheduling.
Limited visibilityMaterials, labor, machine capacity, and priorities stay siloed.
Hidden costMissed commitments, overtime, expediting, and planner effort.
2
Transition to AI-Powered Scheduling
Connected data + scheduling logic + real-time replanning
3
AI-Powered Scheduling
Feasible schedulesFinite-capacity, constraint-aware plans.
Real-time replanningFaster response when conditions change.
Better coordinationLabor, materials, and machines stay aligned.
Smarter decisionsDashboards, alerts, and AI recommendations.
Key ROI Elements
70%
Less Time Scheduling
Planning effort drops dramatically.
25%
Higher Schedule Accuracy
More realistic schedules and fewer surprises.
20%
Better Utilization
Labor and equipment are used more effectively.
15%
On-Time Delivery Lift
Stronger customer service and fewer delays.
Fewer
Expedites & Overtime
Less firefighting and lower premium cost.
Higher
Throughput
More output from existing capacity.
Business Impact: less manual work, faster decisions, higher throughput, and stronger delivery performance.
How Praxie Compares for AI-Powered Production Scheduling
A simple view of the scheduling landscape — and why Praxie delivers more flexibility, automation, and speed for manufacturers.
Spreadsheets &
Manual Planning
- Manual updates
- Slow to replan
- Limited visibility
- Higher risk of errors
- Hard to scale
Integrated ERP /
MES Scheduling
- Connected to core systems
- Often rigid workflows
- Limited customization
- Slower to adapt
- Heavy implementation
Traditional
APS Tools
- Strong scheduling logic
- Good finite-capacity planning
- Can be complex
- Often siloed from workflows
- Higher rollout cost
Point
AI Tools
- Useful for narrow tasks
- Adds isolated automation
- Limited end-to-end control
- May require stitching tools
- Less operational context
★ BEST FIT
Praxie
AI-Powered Scheduling
- Flexible AI scheduling workspace
- Real-time replanning
- Connects ERP, MES, inventory & more
- Dashboards, alerts & workflow automation
- Faster deployment, lower complexity
Scheduling flexibility
–
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✓
Real-time replanning
–
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✓
✓
AI-driven recommendations
–
–
–
✓
✓
Cross-functional workflow support
–
◐
◐
◐
✓
Speed to deploy
–
–
◐
◐
✓
Ease of adapting to change
–
◐
◐
◐
✓
Why Praxie
Stands Out
Stands Out
More flexible than rigid integrated solutions
Far more automated than spreadsheets
Broader than point AI tools
Faster to deploy than heavy APS projects
AI-Powered Production Scheduling Case Study
Atlas Copco | Multinational Industrial Equipment Manufacturer
A simplified example of how AI-powered scheduling can help a complex, global equipment manufacturer reduce planning cycles, improve visibility, and respond faster across factories, product families, and constraints.
Customer Profile
- Industry: Global industrial equipment manufacturing
- Business: Compressors, vacuum, industrial tools, assembly systems, and power & flow equipment
- Challenge: Complex multi-site production scheduling across product families, factories, and constraints
- Focus: AI-powered production scheduling for faster planning and better operational visibility
Key Metrics & Results
Scheduling Execution
Scheduling used to take days; now schedules can be generated and revised in
minutes.Planning Complexity
Large product variety, thousands of constraints, and multiple factories across regions.
Global multi-site complexityBusiness Context
Scheduling must coordinate equipment families, capacity, materials, routings, and service-level commitments.
High-constraint production!
Before Praxie
- Scheduling cycles could take days to complete manually.
- Planners had to balance many product types, constraints, and factory conditions.
- Scenario analysis and rapid rescheduling were difficult.
- Decision-making was slower and often dependent on spreadsheet-heavy planning.
✓
After Praxie
- AI-powered scheduling produces optimized plans in minutes.
- Planners evaluate complex constraints faster and respond quickly to change.
- Teams gain better visibility into capacity, sequencing, and priorities.
- Scheduling decisions become faster, more consistent, and easier to operationalize.
Faster Scheduling Cycles
Less planner effort and quicker response to change.
Higher Throughput Potential
Better sequencing and improved use of global capacity.
Better On-Time Performance
More reliable execution across complex operations.
“
Scheduling used to take days; now it’s done in minutes.
Giuseppe La Casa
Project Sponsor
Project Sponsor
90%+planning cycle reduction
2–5xfaster scheduling workflows
+5–12%potential throughput improvement
Minutesto replan and respond
FAQ: AI-Powered Production Scheduling
Clear answers to the most common questions manufacturers ask when moving from manual or rigid scheduling tools to adaptive AI scheduling.
1
How does the AI actually improve my production schedule — and can I trust it?
Answer: The AI enhances planner judgment by analyzing demand, capacity, constraints, and real-time shop-floor data. Recommendations are explainable, so planners understand why changes are suggested and stay in control.
2
How much manual scheduling and firefighting does this eliminate?
Answer: Most of it. The AI automates schedule creation, sequencing, and updates, reducing manual rework caused by disruptions and priority changes.
3
What happens when something changes on the shop floor?
Answer: The schedule updates dynamically. The system recalculates feasible schedules in real time and highlights impacts before delays cascade.
4
Will this help us identify bottlenecks and risks earlier?
Answer: Yes. The AI continuously monitors constraints and performance trends to flag bottlenecks and capacity risks early.
5
Is this actually better than spreadsheets, ERP scheduling, or our current tools?
Answer: Yes. Unlike static or rigid tools, AI-powered scheduling stays live, constraint-aware, and adaptive as conditions change.
Bottom line: AI-powered scheduling helps planners move faster, respond earlier, and make better decisions without giving up control.